Senior ML Infrastructure & Data Systems Architect

Google LLC

Mountain View (CA)

On-site

USD 262,000 - 364,000

Full time

3 days ago
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Job summary

Google LLC is seeking a Senior Staff Software Engineer in Mountain View to lead data and model insights and infrastructure initiatives. You will design and optimize large-scale ML pipelines, collaborate with cross-functional teams, and shape the architecture of production ML systems.

Responsibilities include setting technical direction, mentoring engineers, and driving robust deployment, evaluation, and data processing workflows.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of software development experience.
  • 7 years leading project strategy, ML design, and ML infrastructure.
  • 5 years in ML fields like speech/audio or RL.
  • 5 years of design, architecture, and testing/launching software products.

Responsibilities

  • Understand ML pipelines and architecture, optimizing resource use and performance.
  • Drive adoption of next-gen AI/ML techniques to solve high-impact business problems.
  • Set the 'gold standard' for code quality, testing, and deployment within the team.
  • Mentor senior and mid-level engineers and represent the team in technical discussions.
  • Partner with researchers to operationalize models and align roadmaps with stakeholders.

Skills

Software development experience
ML infrastructure expertise
Technical leadership
Project strategy & design

Education

Bachelor’s degree or equivalent
Master’s degree or PhD preferred

Tools

ML deployment
Model evaluation
Data processing
Debugging & tuning

Job description

Google LLC is seeking a Senior Staff Software Engineer in Mountain View to lead data and model insights and infrastructure initiatives. You will design and optimize large-scale ML pipelines, collaborate with cross-functional teams, and shape the architecture of production ML systems.

Responsibilities include setting technical direction, mentoring engineers, and driving robust deployment, evaluation, and data processing workflows.

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